Machine Learning Engineer (m/f)
Tadaweb
Luxembourg, Luxembourg
il y a 27j

3SHARES

We are looking for a talented Machine Learning Engineer who shares a passion for exploring and solving new and emerging computer vision challenges.

The ideal candidate will assist the development ofa computer vision algorithm that uses deep learning. Our engineering team made up of software engineers and machine learning experts building products capable of recognising objects in images, even in the most difficult scenarios.

Requirements

  • Master or PHD in computer science, computer vision, machine learning or related technical field
  • 2+ years experience applying machine learning techniques to computer vision
  • 2+ years experience developing in C++, Python or similar
  • Rapid prototyping skills
  • Desired

  • 1+ year experience with one or more Deep Learning frameworks such as CNTK, Tensorflow or Caffe
  • Knowledge of Linux systems
  • Experience in deployment of AI based web services to the cloud
  • Enjoying drinking a good beer
  • Advantages

  • Be part of a fast-growing startup story
  • Cakes and cookies baked by the founders every week
  • Flexible working time
  • After work drinks every Friday
  • And a lot more : an awesome office with an in-house built arcade, table tennis, nerf guns, many team events, toastie parties, etc.
  • About Tadaweb

    Tadaweb is a growth stage, venture backed startup. With an incredible, diverse team from all over the globe, Tadaweb is building one of the globe’s most disruptive technologies.

    Focusing on small data, Tadaweb empowers and leverages the intelligence of humans through replicating and scaling their processes with online data.

    If you would like to work in one of Europe’s best company cultures, contribute to one of the world’s most disruptive technologies and have a whole bunch of fun in the process, contact us now.

    Oh, and even if you don’t see a job opening that exactly matches your skills, if you are a talented, ambitious technologist or product legend, reach out to us.

    We love integrating incredible people into our team.

    To apply, please email your CV and a brief description of your interest in the role to

    3SHARES

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